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Tracy K. Smith, 22nd Poet Laureate of the United States and winner of the Pulitzer Prize for her book Life on Mars, will speak at the 83rd annual McKinney Writing Award ceremony on Friday, April 19 at 7 p.m. in the Concert Hall of the Curtis R. Priem Experimental Media and Performing Arts Center (EMPAC) on the campus of Rensselaer Polytechnic Institute. The event is free and open to the public.
Deepfakes grab headlines when celebrities are involved, but fewer people are aware that deepfakes affect the financial services industry, too.
Research from the Center for Architecture, Science, and Ecology (CASE) and the School of Architecture at Rensselaer Polytechnic Institute was chosen by the Trust for Governor’s Island to be part of its inaugural Climate Solutions Challenge, a call for small busi¬ness¬es, entre¬pre-neurs, and non¬prof¬its to test and demon¬strate urban cli¬mate solu¬tions.
Customer’s online reviews of products and services are highly influential and have an immediate impact on brand value and customer buying behaviors. According to the Pew Research Center, “82% of U.S. adults say they at least sometimes read online customer ratings or reviews before purchasing items for the first time, including 40% who say they always or almost always do so.” How and whether to respond to online reviews is a critical consideration that may very well make or break a company’s success.
Heparin, the world’s most widely used blood thinner, is used during procedures ranging from kidney dialysis to open heart surgery. Currently, heparin is derived from pig intestines, but scientists at Rensselaer Polytechnic Institute have discovered how to make it in the lab. They have also developed a path to a biomanufacturing process that could potentially revolutionize how the world gets its supply of this crucial medicine. 
When a star goes supernova, a massive burst of neutrinos is the first signal that can escape the density of the collapsing star. Detecting and analyzing this phenomenon in real time would allow us insight into stellar dynamics and, potentially, black hole formation. Detection of these types of signals from modern physics detectors is notoriously hard and presents computational challenges that push the bounds of modern and next-generation computing. Transmitting and analyzing the data from the massive particle physics detectors to the next generation of extreme-scale computing will require detailed modeling of the networking, hardware, and leadership class computing systems. These models will allow researchers to find and optimize the computing pathways, configurations, and infrastructure topologies so that they can handle these massive data loads.
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